Artificial Intelligence in Disaster Response and Emergency Management Global Market Report 2024

The artificial intelligence in disaster response and emergency management market size has grown strongly in recent years. It will grow from $129.31 billion in 2023 to $140.96 billion in 2024 at a compound annual growth rate (CAGR) of 9%. The expansion observed in the historic period can be attributed to several key factors, including the heightened frequency and severity of disasters, advancements in artificial intelligence (AI) technologies, cost reduction and efficiency gains associated with AI implementation, increased availability and integration of data sources, and the emphasis on public safety and government mandates.

The artificial intelligence in disaster response and emergency management market size is expected to see strong growth in the next few years. It will grow to $201.41 billion in 2028 at a compound annual growth rate (CAGR) of 9.3%. The anticipated growth in the forecast period is driven by several factors, notably the adoption of AI-powered robotics and drones, integration with smart city initiatives, the increasing impact of climate change, and the utilization of AI-driven predictive analytics. Key trends expected to shape the landscape include the integration of AI into disaster recovery plans, the expansion of IoT and sensor networks, the rise of AI-powered predictive analytics solutions, and the adoption of AI-powered robotics and drones for disaster management in smart city environments.

The escalating frequency and intensity of disasters are projected to drive the expansion of artificial intelligence adoption in the disaster response and emergency management sector. Disasters, being sudden and calamitous events causing substantial damage and disruption to communities, environments, and economies, result from a complex interplay of natural phenomena, human actions, and the effects of climate change. Artificial intelligence solutions in disaster response and emergency management are utilized for analyzing extensive data from diverse sources to offer real-time insights, forecast disaster impacts, optimize resource allocation, and enhance decision-making during crises. According to the World Disasters Report 2022 by the International Federation of Red Cross and Red Crescent Societies, there were 529 disasters in 2021, affecting approximately 121.3 million people and resulting in 14,577 documented deaths, marking an increase from the 433 disasters in 2020 that impacted around 99 million individuals and caused 15,396 fatalities. These statistics highlight the rising importance of artificial intelligence in mitigating the effects of disasters.

Leading companies operating in the artificial intelligence for disaster response and emergency management sector are developing innovative AI-driven solutions, such as AI Property, to streamline the damage assessment process. AI Property is an artificial intelligence solution designed to help homeowners swiftly assess and report external damage to buildings caused by natural disasters through a user-friendly mobile app, thereby expediting insurance claims and recovery procedures. For example, in January 2022, Tractable, a US-based software company, partnered with Verisk, a US-based analytics company, to launch AI Property, a cutting-edge tool for rapid home damage assessment following natural disasters. This AI-powered tool enables homeowners to submit photos via a mobile app to Tractable's platform for quick damage assessment. Trained on a database of claims, the AI provides insurers with damage assessments within a day, a significant improvement compared to the months-long process it used to take.

In October 2023, Tyler Technologies Inc., a US-based software company, completed the acquisition of ARInspect for an undisclosed sum. This strategic acquisition has bolstered Tyler Technologies' platform capabilities with AI-driven machine learning solutions from ARInspect, offering advanced functionalities for public sector field operations and facilitating smarter decision-making for government agencies. ARInspect, a US-based robotic process automation company leveraging AI technologies, provides solutions for various organizations involved in disaster response, including police disaster response units, emergency fire response teams, and self-defense forces.

Major companies operating in the artificial intelligence in disaster response and emergency management market are Amazon Inc., Alphabet Inc., Microsoft Corporation, Huawei Technologies Co. Ltd., Deloitte Touche Tohmatsu Limited, Hitachi Ltd., Siemens AG, Raytheon Technologies Corporation, Intel Corporation, Accenture PLC, International Business Machines Corporation, Cisco Systems Inc., General Dynamics Corporation, Northrop Grumman Corporation, Honeywell International Inc., NVIDIA Corporation, BAE Systems plc, Thales Group, NEC Corporation, Leidos Holdings Inc., Booz Allen Hamilton Holding Corporation, Motorola Solutions Inc., Teledyne Technologies Incorporated, Palantir Technologies Inc.

North America was the largest region in the artificial intelligence in disaster response and emergency management market in 2023. The regions covered in the artificial intelligence in disaster response and emergency management market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in the artificial intelligence in disaster response and emergency management market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI) in disaster response and emergency management involves leveraging AI technologies such as machine learning, natural language processing, and computer vision to improve preparedness, response, and recovery efforts during natural disasters, humanitarian crises, and other emergencies. By harnessing AI, emergency responders, government agencies, and humanitarian organizations can utilize data-driven insights and adaptive strategies to minimize the impact of disasters, safeguard lives, and protect infrastructure and communities.

The primary types of AI utilized in disaster response and emergency management include natural language processing (NLP), machine learning, computer vision, robotics, and speech recognition. NLP enables computers to understand, interpret, and generate human language for tasks such as text analysis and language translation. Various technologies such as remote sensing, Internet of Things (IoT) sensors, geographic information systems (GIS), drones and unmanned aerial vehicles (UAVs), cloud computing, and big data analytics are employed in earthquake prediction and monitoring, flood detection and management, wildfire monitoring and prediction, hurricane and cyclone tracking, tsunami early warning systems, search and rescue operations, and damage assessment and recovery planning applications. The end users of AI in disaster response and emergency management include government agencies and authorities, non-governmental organizations (NGOs), research institutions and universities, disaster response teams, and emergency management agencies. These stakeholders collaborate to leverage AI technologies effectively and efficiently in preparing for, responding to, and recovering from various types of disasters and emergencies.

The artificial intelligence in disaster response and emergency management market research report is one of a series of new reports that provides artificial intelligence in disaster response and emergency management market statistics, including artificial intelligence in disaster response and emergency management industry global market size, regional shares, competitors with an artificial intelligence in disaster response and emergency management market share, detailed artificial intelligence in disaster response and emergency management market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence in disaster response and emergency management industry. This artificial intelligence in disaster response and emergency management market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence in disaster response and emergency management market consists of revenues earned by entities by providing services such as awareness services, natural language processing services, emergency communication, geospatial intelligence services, and risk management services. The market value includes the value of related goods sold by the service provider or included within the service offering. The artificial intelligence in disaster response and emergency management market also includes sales of disaster response robots, imaging and remote sensing devices and control systems which are used in providing the services. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.


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